The Concentration in Artificial Intelligence in Healthcare is open to all PhD and MD-PhD students from all MCGSBS training programs to provide the opportunity to integrate artifical intelligence coursework into their degree plan and inform their dissertation research. 

• David R. Holmes, III Ph.D., Program Director 

Eligible learners may declare concentration using the appropriate form. See Concentration Declaration Procedure. By declaring a concentration through this procedure, the concentration will appear on a student's academic transcript. Students may only declare established concentrations and must be in a degree seeking program to declare a concentration. Students may only declare one official concentration. 

Course Work

The curriculum for the Concentration consists of 12-15 credits. The student must complete all of the required courses listed below: 

Course Requirements

Course List

Code	Title	Hours
CTSC 5350	Ethical Issues in Artificial Intelligence and Information Technologies	1
AIHC 5020	Introduction to Data	3
AIHC 5030	Introduction to Deployment, Adoption & Maintenance of Artificial Intelligence Models/Algorithms	2
AIHC 6000	Independent Study in Artificial Intelligence in Healthcare	1
Select one of the following:		2-3
AIHC 5010	Introduction to Machine Learning
AIHC 5100	AI Fundamentals for Healthcare Professionals
BME 6720	Deep Learning for Medical Imaging
MPET 6450	Applied Data Science and Artificial Intelligence in Pharmacology
Select one of the following:		2-3
CTSC 5610	Statistics in CTR: Linear Regression Concepts, Interpretation, and Statistical Software
AIHC 5615	Fundamentals of Statistics for Artificial Intelligence
Select one of the following:		1-2
CTSC 5300	Foundations of Epidemiology
CTSC 5370	Introduction to Epidemiology
Total Hours		12-15

Independent Study

The independent study is an opportunity to demonstrate the integration of knowledge from the concentration courses.  Through the independent study with one of the faculty of the AIHC track, the learning will complete a project or writeup related to the use of AI in their scientific domain.  The faculty and learner will meet at the beginning of the term to define the specific learning objectives and academic output from the Independent Study.